This paper describes a system for determining selective availability of operators interacting with a large IPv6 security monitoring system. The system is using ultra-mobile and desktop devices as the consoles operated by the security personnel. These devices provide a number of physical and virtual sensors which are processed by a machine-learned classifier and allow for determination of the subject's availability for messages and alerts of different level of importance. The system was evaluated on a small set of skilled users in a longitudinal manner and the results are reported.